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Atlases of the rat brain are widely used as reference for orientation, planning of experiments, and as tools for assigning location to experimental data. Improved quality and use of magnetic resonance imaging (MRI) and other tomographical imaging techniques in rats have allowed the development of new three-dimensional (3-D) volumetric brain atlas templates.

The main focus of our original article was to describe the anatomical delineations constituting the first version of the WHS Sprague Dawley atlas, apply the Waxholm Space coordinate system, and publish the associated MRI/DTI template and segmentation volume in their original format. To increase usability of the dataset, we have recently shared an updated version of the volumetric image material (v1.01). The aims of this addendum are to inform about the improvements in the updated dataset, in particular related to navigation in the WHS coordinate system, and provide guidance for transforming coordinates acquired in the first version of the atlas.

Three-dimensional digital brain atlases represent an important new generation of neuroinformatics tools for understanding complex brain anatomy, assigning location to experimental data, and planning of experiments. We have acquired a microscopic resolution isotropic MRI and DTI atlasing template for the Sprague Dawley rat brain with 39 μm isotropic voxels for the MRI volume and 78 μm isotropic voxels for the DTI.

Exploring the EBRAINS brain atlases using the siibra-explorer, an interactive online 3D atlas viewer, and learning how the human brain atlas is structured.

The aim of this collab is to provide you with all the information you need to publish your neuroscience data via the EBRAINS Knowledge Graph.

In this tutorial, you will learn how to build a simple network of integrate-and-fire neurons using PyNN, how to run simulation experiments with this network using different simulators, and how to visualize the data generated by these experiments.

This video shows you how to find a neuroscience dataset in the EBRAINS Knowledge Graph.

This video discusses the importance of providing a data descriptor alongside your data and gives advice on how to prepare such a document for the purpose of sharing data through EBRAINS.

This video gives an introduction to the importance and benefits of metadata organisation for a neuroscience researcher. It then explains how EBRAINS organises and integrates metadata to provide an easy and user-friendly service.

This video outlines the importance of data organisation and best practices.